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THEORETICAL MODELS AND BIOMATHEMATICAL ALGORITHMS FOR IDENTIFYING MULTIPLE GASTROINTESTINAL DIPOLES

机译:用于识别多种胃肠道偶极子的理论模型和生物疗法算法

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The study of the electrical gastric activity (EGA) is of great importance to the diagnosis of various pathological gastrointestinal (GI) conditions in humans. In order to analyze the characteristics of this phenomenon, a three-dimensional visualization of the current sources in the stomach was developed using magnetometer-recorded data of the gastric magnetic field as an input. An algorithm for solving the biomagnetic inverse problem was also developed that makes use of least-squares approximations in order to find the best-fitting current dipole orientations. Dipole locations were determined through the use of a recursive computational algorithm in which the forward biomagnetic model was employed. A theoretical biomathematical model was developed for this and adapted to take into account the anatomical configuration of the stomach and intestine, as well as other a priori criteria of investigation. The accuracy of the model developed was demonstrated using a simulation of magnetic fields in humans. In addition, various types of 3D simulations and visualizations were created in order to show the potential ability of the mathematical and computational tools created to accurately analyze anomalous biomagnetic field patterns.
机译:对电气胃活动(EGA)的研究非常重视对人类的各种病理胃肠道(GI)病症的诊断。为了分析这种现象的特性,使用作为输入的胃磁场的磁力计记录的数据来开发胃中电流源的三维可视化。还开发了一种解决生物磁性逆问题的算法,其利用最小二乘近似以找到最佳拟合电流偶极方向。通过使用使用前向生物磁模型的递归计算算法确定偶极子位置。为此开发了理论生物疗法模型,并适合考虑胃和肠的解剖结构,以及其他先验的调查标准。使用人类磁场的模拟证明了模型的准确性。此外,创建了各种类型的3D模拟和可视化,以便展示为准确地分析异常的生物磁场模式而产生的数学和计算工具的潜在能力。

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